数据集与基准论文趋势 2023–2026

新数据集与评测协议

统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 5,856 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

数据集与基准论文数,按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023227162166382937
20244482163183641,346
20256374191893371,582
20266236352754581,991

代表论文

按年份和会议均匀挑选,方便快速看到每一届的样貌

全部数据集与基准论文

共 1,935 篇,第 32 / 39 页

  1. NeurIPS 2024PEACE: A Dataset of Pharmaceutical Care for Cancer Pain Analgesia Evaluation and Medication Decision
  2. NeurIPS 2024Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking
  3. NeurIPS 2024Pedestrian-Centric 3D Pre-collision Pose and Shape Estimation from Dashcam Perspective
  4. NeurIPS 2024PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models
  5. NeurIPS 2024Piecewise-Stationary Bandits with Knapsacks
  6. NeurIPS 2024Post-Hoc Reversal: Are We Selecting Models Prematurely?
  7. NeurIPS 2024PowerGraph: A power grid benchmark dataset for graph neural networks
  8. NeurIPS 2024Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning
  9. NeurIPS 2024Pretraining with Random Noise for Fast and Robust Learning without Weight Transport
  10. NeurIPS 2024Pricing and Competition for Generative AI
  11. NeurIPS 2024Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs
  12. NeurIPS 2024Private and Personalized Frequency Estimation in a Federated Setting
  13. NeurIPS 2024Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
  14. NeurIPS 2024ProgressGym: Alignment with a Millennium of Moral Progress
  15. NeurIPS 2024Progressive Entropic Optimal Transport Solvers
  16. NeurIPS 2024PROSPECT PTMs: Rich Labeled Tandem Mass Spectrometry Dataset of Modified Peptides for Machine Learning in Proteomics
  17. NeurIPS 2024Provable and Efficient Dataset Distillation for Kernel Ridge Regression
  18. NeurIPS 2024Provable Posterior Sampling with Denoising Oracles via Tilted Transport
  19. NeurIPS 2024Provable Tempered Overfitting of Minimal Nets and Typical Nets
  20. NeurIPS 2024QKFormer: Hierarchical Spiking Transformer using Q-K Attention
  21. NeurIPS 2024Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing
  22. NeurIPS 2024Quantifying the Bitter Lesson: How Safety Benchmarks Measure Capabilities Instead of Safety
  23. NeurIPS 2024QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization
  24. NeurIPS 2024Re-assembling the past: The RePAIR dataset and benchmark for real world 2D and 3D puzzle solving
  25. NeurIPS 2024RealMAN: A Real-Recorded and Annotated Microphone Array Dataset for Dynamic Speech Enhancement and Localization
  26. NeurIPS 2024Reasons and Solutions for the Decline in Model Performance after Editing
  27. NeurIPS 2024Recovering Complete Actions for Cross-dataset Skeleton Action Recognition
  28. NeurIPS 2024RedPajama: an Open Dataset for Training Large Language Models
  29. NeurIPS 2024RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
  30. NeurIPS 2024ReMI: A Dataset for Reasoning with Multiple Images
  31. NeurIPS 2024Renovating Names in Open-Vocabulary Segmentation Benchmarks
  32. NeurIPS 2024Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach
  33. NeurIPS 2024Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma
  34. NeurIPS 2024RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content
  35. NeurIPS 2024Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models
  36. NeurIPS 2024Rethinking Model-based, Policy-based, and Value-based Reinforcement Learning via the Lens of Representation Complexity
  37. NeurIPS 2024Rethinking No-reference Image Exposure Assessment from Holism to Pixel: Models, Datasets and Benchmarks
  38. NeurIPS 2024Rethinking Optimal Transport in Offline Reinforcement Learning
  39. NeurIPS 2024Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox
  40. NeurIPS 2024Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage
  41. NeurIPS 2024Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport
  42. NeurIPS 2024SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models
  43. NeurIPS 2024Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?
  44. NeurIPS 2024Satformer: Accurate and Robust Traffic Data Estimation for Satellite Networks
  45. NeurIPS 2024SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning
  46. NeurIPS 2024Scalable DBSCAN with Random Projections
  47. NeurIPS 2024Scale Equivariant Graph Metanetworks
  48. NeurIPS 2024Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets
  49. NeurIPS 2024SCRREAM : SCan, Register, REnder And Map: A Framework for Annotating Accurate and Dense 3D Indoor Scenes with a Benchmark
  50. NeurIPS 2024SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查数据集与基准在 NeurIPS 2023–2026 的论文趋势,哪一年涨得最快?

AI 会调用的工具:get_topic_stats {"topic": "dataset-and-benchmarks"}

两分钟接入 Paperlist MCP(Claude Code、Cursor、Codex、ChatGPT)

常见问题

2023–2026 年四大会议一共有多少篇数据集与基准论文?
共 5,856 篇,按年份分别是 2023 年 937 篇、2024 年 1,346 篇、2025 年 1,582 篇、2026 年 1,991 篇。
NeurIPS 2026 有多少篇数据集与基准论文?
NeurIPS 2026 有 623 篇数据集与基准论文,上一届是 637 篇。
ICLR 2026 有多少篇数据集与基准论文?
ICLR 2026 有 635 篇数据集与基准论文,上一届是 419 篇。
ICML 2026 有多少篇数据集与基准论文?
ICML 2026 有 275 篇数据集与基准论文,上一届是 189 篇。
CVPR 2026 有多少篇数据集与基准论文?
CVPR 2026 有 458 篇数据集与基准论文,上一届是 337 篇。
哪个会议的数据集与基准论文最多?
NeurIPS,2023–2026 年共 1,935 篇。

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